Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141904
Title: Model-based condition monitoring of a vanadium redox flow battery
Authors: Meng, Shujuan
Xiong, Binyu
Lim, Tuti Mariana
Keywords: Engineering::Civil engineering
Issue Date: 2019
Source: Meng, S., Xiong, B., & Lim, T. M. (2019). Model-based condition monitoring of a vanadium redox flow battery. Energies, 12(15), 3005-. doi:10.3390/en12153005
Journal: Energies
Abstract: The safe, efficient and durable utilization of a vanadium redox flow battery (VRB) requires accurate monitoring of its state of charge (SOC) and capacity decay. This paper focuses on the unbiased model parameter identification and model-based monitoring of both the SOC and capacity decay of a VRB. Specifically, a first-order resistor-capacitance (RC) model was used to simulate the dynamics of the VRB. A recursive total least squares (RTLS) method was exploited to attenuate the impact of external disturbances and accurately track the change of model parameters in realtime. The RTLS-based identification method was further integrated with an H-infinity filter (HIF)-based state estimator to monitor the SOC and capacity decay of the VRB in real-time. Experiments were carried out to validate the proposed method. The results suggested that the proposed method can achieve unbiased model parameter identification when unexpected noises corrupt the current and voltage measurements. SOC and capacity decay can also be estimated accurately in real-time without requiring additional open-circuit cells.
URI: https://hdl.handle.net/10356/141904
ISSN: 1996-1073
DOI: 10.3390/en12153005
Rights: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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